About FFP
Fit Future Program runs fitness assessments for schools and academies. We measure children on speed, agility, strength and power using sensor-based devices, then turn that data into clear reports for parents, coaches and schools. We are building the software behind this: data pipelines, automated report generation and, next, products that parents and schools use directly. You will work with the founder and see your work used by real schools.
The role
You will help build and ship FFP’s product end to end, from the data pipeline and backend to the web interface, adding AI where it makes the product better. This is a hands-on role with real ownership. Your work will be used in live school assessments.
What you’ll do
Build and improve web interfaces (dashboards, report viewers, data upload flows) for schools, coaches and parents
Develop backend services and APIs that process assessment data and generate reports
Work on our automation workflows, including data validation, scoring and PDF report generation
Build AI features, such as plain-language summaries of a child’s results, insights across a cohort, and data-quality checks
Handle messy real-world data (Excel exports, rosters) and make it reliable
Write clean, documented code and test your work before it reaches users
What we’re looking for
Working knowledge of a frontend framework (React / Next.js or similar), HTML and CSS
Backend experience in Node.js or Python, including building REST APIs
Basic database skills (SQL or a document DB)
Hands-on experience with LLM APIs (prompting, structured outputs, simple agent or automation flows)
Comfort with Git and deploying small apps
Ability to learn fast, ask good questions and finish what you start
Nice to have
Experience with workflow automation tools (n8n, Zapier, Make)
Experience with data handling in Excel/CSV, or with PDF generation
Interest in sports, fitness, education or child development
A GitHub profile or side projects we can look at
What you’ll get
Direct mentorship from the founder, who has 20+ years in product management
Ownership of real features in a live product, not practice tasks
Exposure to product thinking, AI in production and working with schools
Stipend: ₹ 5,000/month
Certificate and letter of recommendation, and a possible full time offer on strong performance
Details
Duration: 3 months
Location: Remote / Mumbai / Hybrid
Commitment: Full-time / 40+ hrs per week
Start date: Immediate
Source: Wellfound.
Report this job
Wrongly listed? Tell us why.